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Page 1
Data Quality in Health Research: Integrative Literature Review.
Bernardi FA, Alves D, Crepaldi N, Yamada DB, Lima VC, Rijo R. Bernardi FA, et al. J Med Internet Res. 2023 Oct 31;25:e41446. doi: 10.2196/41446. J Med Internet Res. 2023. PMID: 37906223 Free PMC article. Review.
Key findings revealed variability and a lack of consensus in assessing data quality domains and metrics. Data quality factors included the research environment, application time, and development steps. ...The findings highlight the need for standardize …
Key findings revealed variability and a lack of consensus in assessing data quality domains and metrics. Data qualit …
Digital Health Data Quality Issues: Systematic Review.
Syed R, Eden R, Makasi T, Chukwudi I, Mamudu A, Kamalpour M, Kapugama Geeganage D, Sadeghianasl S, Leemans SJJ, Goel K, Andrews R, Wynn MT, Ter Hofstede A, Myers T. Syed R, et al. J Med Internet Res. 2023 Mar 31;25:e42615. doi: 10.2196/42615. J Med Internet Res. 2023. PMID: 37000497 Free PMC article. Review.
BACKGROUND: The promise of digital health is principally dependent on the ability to electronically capture data that can be analyzed to improve decision-making. However, the ability to effectively harness data has proven elusive, largely because of the quality …
BACKGROUND: The promise of digital health is principally dependent on the ability to electronically capture data that can be analyzed …
Data quality in healthcare: A report of practical experience with the Canadian Primary Care Sentinel Surveillance Network data.
Ehsani-Moghaddam B, Martin K, Queenan JA. Ehsani-Moghaddam B, et al. Health Inf Manag. 2021 Jan-May;50(1-2):88-92. doi: 10.1177/1833358319887743. Epub 2019 Dec 5. Health Inf Manag. 2021. PMID: 31805788
Data quality (DQ) is the degree to which a given dataset meets a user's requirements. In the primary healthcare setting, poor quality data can lead to poor patient care, negatively affect the validity and reproducibility of research results and limit t …
Data quality (DQ) is the degree to which a given dataset meets a user's requirements. In the primary healthcare setting, poor …
Automating Electronic Health Record Data Quality Assessment.
Ozonze O, Scott PJ, Hopgood AA. Ozonze O, et al. J Med Syst. 2023 Feb 13;47(1):23. doi: 10.1007/s10916-022-01892-2. J Med Syst. 2023. PMID: 36781551 Free PMC article. Review.
Information systems such as Electronic Health Record (EHR) systems are susceptible to data quality (DQ) issues. Given the growing importance of EHR data, there is an increasing demand for strategies and tools to help ensure that available data are fit …
Information systems such as Electronic Health Record (EHR) systems are susceptible to data quality (DQ) issues. Given the grow …
Perspective: A Comprehensive Evaluation of Data Quality in Nutrient Databases.
Li Z, Forester S, Jennings-Dobbs E, Heber D. Li Z, et al. Adv Nutr. 2023 May;14(3):379-391. doi: 10.1016/j.advnut.2023.02.005. Epub 2023 Feb 25. Adv Nutr. 2023. PMID: 36849083 Free PMC article. Review.
To identify the most critical components needed for improvement of nutrient databases, food composition data were analyzed for quality, with completeness being the most important measure, and for FAIRness, how well the data conformed with the data scie …
To identify the most critical components needed for improvement of nutrient databases, food composition data were analyzed for qua …
Quality assessment of real-world data repositories across the data life cycle: A literature review.
Liaw ST, Guo JGN, Ansari S, Jonnagaddala J, Godinho MA, Borelli AJ, de Lusignan S, Capurro D, Liyanage H, Bhattal N, Bennett V, Chan J, Kahn MG. Liaw ST, et al. J Am Med Inform Assoc. 2021 Jul 14;28(7):1591-1599. doi: 10.1093/jamia/ocaa340. J Am Med Inform Assoc. 2021. PMID: 33496785 Free PMC article. Review.
OBJECTIVE: Data quality (DQ) must be consistently defined in context. The attributes, metadata, and context of longitudinal real-world data (RWD) have not been formalized for quality improvement across the data production and curation life cycle …
OBJECTIVE: Data quality (DQ) must be consistently defined in context. The attributes, metadata, and context of longitudinal re …
Data quality is an illusion.
Martin PM. Martin PM. Br J Gen Pract. 2022 Nov 24;72(725):566. doi: 10.3399/bjgp22X721265. Print 2022 Dec. Br J Gen Pract. 2022. PMID: 36424164 Free PMC article. No abstract available.
Data Quality-Driven Improvement in Health Care: Systematic Literature Review.
Lighterness A, Adcock M, Scanlon LA, Price G. Lighterness A, et al. J Med Internet Res. 2024 Aug 22;26:e57615. doi: 10.2196/57615. J Med Internet Res. 2024. PMID: 39173155 Free PMC article. Review.
BACKGROUND: The promise of real-world evidence and the learning health care system primarily depends on access to high-quality data. Despite widespread awareness of the prevalence and potential impacts of poor data quality (DQ), best practices for its …
BACKGROUND: The promise of real-world evidence and the learning health care system primarily depends on access to high-quality dat …
Data quality and reliability metrics for event-related potentials (ERPs): The utility of subject-level reliability.
Clayson PE, Brush CJ, Hajcak G. Clayson PE, et al. Int J Psychophysiol. 2021 Jul;165:121-136. doi: 10.1016/j.ijpsycho.2021.04.004. Epub 2021 Apr 24. Int J Psychophysiol. 2021. PMID: 33901510 Review.
In this primer, we review three types of measurements metrics: data quality, group-level internal consistency, and subject-level internal consistency. ...We apply each metric to published error-related negativity (ERN) and reward positivity (RewP) data and de …
In this primer, we review three types of measurements metrics: data quality, group-level internal consistency, and subject-lev …
838,477 results
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